1.Live Review Introduction
Tiger Brokers livestream hosted by Vyann, featuring Selena Han, former $Cboe Global Markets, Inc(CBOE)$ economist and founder of Han Insights. With 8 years of experience at CBOE, the largest US equity options exchange, Selena served as the exchange’s first dedicated economist, translating raw market data into actionable insights for regulators and all tiers of market participants. Her research spans US equities, derivatives, volatility dynamics, macro trends and AI sector investment logic.
With all five Big Tech names reporting Q2 earnings within weeks of each other, Selina walked through each company's AI investment story individually — because despite the shared "AI CapEx" headline, the five strategies (and their market receptions) turned out to be very different.
Disclaimer: This broadcast has not been reviewed by MAS. The views expressed are the speaker's own and not those of Tiger Brokers. This session is strictly for educational purposes and is not financial advice. Investing involves risk, and past performance does not guarantee future results.
2.Alphabet: AI Is Both Offense and Defense
$Alphabet(GOOG)$'s investment case runs across three time horizons at once: Search (today's resilient cash flow), Google Cloud (today's clearest growth engine, benefiting directly from AI infrastructure demand), and Gemini (tomorrow's optionality, not yet a standalone revenue line). AI CapEx guidance was raised to roughly $85B, and most scorecard categories read Strong or Improving — except Market Reaction, which came in Weak despite the solid fundamentals. $Alphabet(GOOGL)$ still posted a +13.1% three-month gain through Aug 18. The open question: can Gemini create new revenue streams beyond Search?
3.Microsoft: The Monetizer
Of the five, $Microsoft(MSFT)$ shows the clearest, already-visible path from AI investment to revenue — Azure and Copilot enterprise adoption are converting infrastructure spend into recurring revenue today, not just promising to. The dashboard was mostly green: Azure, Enterprise AI, and AI Monetization all rated Strong. $Microsoft(MSFT)$ gained +13.7% over three months. The lingering question isn't whether AI monetizes for Microsoft — it's whether that monetization can keep outrunning elevated CapEx.
4.Meta: AI Is Working, But It's Expensive
$Meta Platforms, Inc.(META)$'s AI-powered recommendation and ad-targeting flywheel is visibly working: Q2 revenue hit $60.8B (+28% YoY), advertising revenue $59.4B (+27% YoY). But Q2 CapEx alone reached $31.08B, and FY2026 guidance of $130–145B is compressing free cash flow to just $784M and pulling operating margin down to 31% from 43%. The market's verdict was blunt — $Meta Platforms, Inc.(META)$ fell -11.1% over three months, with shares down roughly 8% the day after earnings as investors focused on EPS, CapEx, and cash flow rather than the strong top line.
5.Amazon: Selling the Picks and Shovels
$Amazon.com(AMZN)$ plays a dual role — AWS sells the AI infrastructure other companies build on, while Retail, Logistics and Alexa use that same technology internally. Because AWS doesn't need to bet on which AI model wins, it can simply monetize the compute underneath all of them. $Amazon.com(AMZN)$ gained +12.0% over three months. Alexa's generative-AI rebuild is still rated Early, and margins/ROI remain a Watch item given elevated CapEx.
6.Apple: The Contrarian
$Apple(AAPL)$ stands apart: its AI CapEx is described as "Selective" against peers' $85–145B+ range, favoring a capital-light, ecosystem-led strategy centered on on-device processing and privacy. Margins/ROI rate Strong precisely because infrastructure spend is so much lower — but AI Monetization rates Early, and the market reaction was mixed. $Apple(AAPL)$ rose a modest +4.1% over three months, with shares pulling back post-earnings as investors weighed slower AI monetization visibility versus peers.
7.The Scorecard, Side by Side
Laid out side by side, $Alphabet(GOOG)$, $Microsoft(MSFT)$ and $Amazon.com(AMZN)$ show mostly green across the board; $Meta Platforms, Inc.(META)$ is strong but carries elevated CapEx/cash-flow risk; $Apple(AAPL)$ is still "Developing" on AI momentum. Five different playbooks, one shared question for each: can the spending convert into earnings and ROI — not just AI leadership?
Closing Takeaway
The real differentiator this earnings season wasn't who spent the most on AI — Meta did, and it was punished for it — but who could show a believable, near-term line from CapEx to cash flow. Next up: the non-fundamental story that turned an earnings-driven pullback into a much sharper AI-stock selloff.
8.Risk Reminder
Technology and AI-related stocks can be highly volatile around earnings and macro catalysts. Market participants without sufficient foundational knowledge are advised to complete education modules before initiating live positions.
9.Post-Event Resources
Viewers can access further insights via Han Insights' official website, haninsights.com. You can also follow Selina Han on LinkedIn (search: Selina Han) or via Tothemoon as @Selina_Han_Insights. The full livestream replay is available on the Tiger Trade app.
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